A growing literature has documented group differences between boys with and without attention deficit-hyperactivity disorder (ADHD) on neuropsychological tests; however, whether or not such tests can
Research gap analysis derived from 3 medicine papers in our local library.
The gap
A growing literature has documented group differences between boys with and without attention deficit-hyperactivity disorder (ADHD) on neuropsychological tests; however, whether or not such tests can discriminate individuals with ADHD from
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Diagnostic efficiency of neuropsychological test scores for discriminating boys with and without attention deficit–hyperactivity disorder. (2000) · doi
A growing literature has documented group differences between boys with and without attention deficit-hyperactivity disorder (ADHD) on neuropsychological tests; however, whether or not such tests can discriminate individuals with ADHD from non-ADHD controls remains unclear.
Keywords: adhd tests growing literature documented group differences boys without attention deficit hyperactivity disorder neuropsychological whether - Effects of Diagnostic Comorbidity and Dimensional Symptoms of Attention-Deficit–Hyperactivity Disorder in Men with Antisocial Personality Disorder (2008) · doi
OBJECTIVE: Although children with attention deficit hyperactivity disorder (ADHD) are at increased risk for later onset of antisocial personality disorder (APD) as adults, the utility of ADHD as either a comorbid diagnosis (ADHD(c)) or dimensional symptoms (ADHD(d)) in predicting behaviour and substance use problems in APD subjects has not been examined.
Keywords: adhd disorder objective children attention deficit hyperactivity increased risk later onset antisocial personality adults utility - Comorbidity in ADHD: Implications for Research, Practice, and DSM-V (1997) · doi
CONCLUSIONS: Additional studies of the frequency of comorbidity and associated factors are greatly needed to include studies of differential effects of treatment of children with various comorbid ADHD disorders, as well as of ADHD children who differ on etiological factors.
Keywords: factors children adhd conclusions additional frequency comorbidity associated greatly needed include differential effects treatment various
Explore this gap further
Search “A growing literature has documented group differences between boys with and without attention deficit-hyperactivity disorder (ADHD) on neuropsychological tests; however, whether or not such tests can ” across open scholarly engines for the latest related literature.
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Free tools for your next paper
Related gaps in Medicine
- Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.
- Recent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC. By implementing VFMs to mitigate imaging domain shifts andRecent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC.…
- PURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ultimate goal of supporting evidence-based clinical recommendatiPURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ulti…
- External validation is required before the model can be applied in clinical settings.External validation is required before the model can be applied in clinical settings.